Dataset Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	13
Number of observations	705
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	303.4 KiB
Average record size in memory	440.7 B

Variable types

Numeric	7
Categorical	4
Text	1
Boolean	1

Alerts

`Academic_Level` is highly overall correlated with `Age` and 1 other fields	High correlation
`Addicted_Score` is highly overall correlated with `Affects_Academic_Performance` and 4 other fields	High correlation
`Affects_Academic_Performance` is highly overall correlated with `Addicted_Score` and 5 other fields	High correlation
`Age` is highly overall correlated with `Academic_Level` and 1 other fields	High correlation
`Avg_Daily_Usage_Hours` is highly overall correlated with `Addicted_Score` and 4 other fields	High correlation
`Conflicts_Over_Social_Media` is highly overall correlated with `Addicted_Score` and 4 other fields	High correlation
`Gender` is highly overall correlated with `Academic_Level` and 1 other fields	High correlation
`Mental_Health_Score` is highly overall correlated with `Addicted_Score` and 4 other fields	High correlation
`Most_Used_Platform` is highly overall correlated with `Affects_Academic_Performance`	High correlation
`Sleep_Hours_Per_Night` is highly overall correlated with `Addicted_Score` and 4 other fields	High correlation
`Student_ID` is uniformly distributed	Uniform
`Student_ID` has unique values	Unique

Reproduction

Analysis started	2025-06-17 15:11:22.700568
Analysis finished	2025-06-17 15:11:34.603200
Duration	11.9 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Student_ID
Real number (ℝ)

Uniform Unique

Distinct	705
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	353

Minimum	1
Maximum	705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	36.2
Q1	177
median	353
Q3	529
95-th percentile	669.8
Maximum	705
Range	704
Interquartile range (IQR)	352

Descriptive statistics

Standard deviation	203.66026
Coefficient of variation (CV)	0.57694124
Kurtosis	-1.2
Mean	353
Median Absolute Deviation (MAD)	176
Skewness	0
Sum	248865
Variance	41477.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
705	1	0.1%
689	1	0.1%
688	1	0.1%
687	1	0.1%
686	1	0.1%
685	1	0.1%
684	1	0.1%
683	1	0.1%
682	1	0.1%
681	1	0.1%
Other values (695)	695	98.6%

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
705	1	0.1%
704	1	0.1%
703	1	0.1%
702	1	0.1%
701	1	0.1%
700	1	0.1%
699	1	0.1%
698	1	0.1%
697	1	0.1%
696	1	0.1%

Age
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.659574

Minimum	18
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	18
5-th percentile	19
Q1	19
median	21
Q3	22
95-th percentile	23
Maximum	24
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.3992175
Coefficient of variation (CV)	0.067727312
Kurtosis	-0.50784411
Mean	20.659574
Median Absolute Deviation (MAD)	1
Skewness	0.36890899
Sum	14565
Variance	1.9578095
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
20	165	23.4%
19	163	23.1%
21	156	22.1%
22	147	20.9%
23	34	4.8%
24	26	3.7%
18	14	2.0%

Value	Count	Frequency (%)
18	14	2.0%
19	163	23.1%
20	165	23.4%
21	156	22.1%
22	147	20.9%
23	34	4.8%
24	26	3.7%

Value	Count	Frequency (%)
24	26	3.7%
23	34	4.8%
22	147	20.9%
21	156	22.1%
20	165	23.4%
19	163	23.1%
18	14	2.0%

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	42.8 KiB

Female	353
Male	352

Length

Max length	6
Median length	6
Mean length	5.0014184
Min length	4

Characters and Unicode

Total characters	3526
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Female
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	353	50.1%
Male	352	49.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	353	50.1%
male	352	49.9%

Most occurring characters

Value	Count	Frequency (%)
e	1058	30.0%
a	705	20.0%
l	705	20.0%
F	353	10.0%
m	353	10.0%
M	352	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3526	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1058	30.0%
a	705	20.0%
l	705	20.0%
F	353	10.0%
m	353	10.0%
M	352	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3526	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1058	30.0%
a	705	20.0%
l	705	20.0%
F	353	10.0%
m	353	10.0%
M	352	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3526	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1058	30.0%
a	705	20.0%
l	705	20.0%
F	353	10.0%
m	353	10.0%
M	352	10.0%

Academic_Level
Categorical

High correlation

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	46.7 KiB

Undergraduate	353
Graduate	325
High School	27

Length

Max length	13
Median length	13
Mean length	10.61844
Min length	8

Characters and Unicode

Total characters	7486
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Undergraduate
2nd row	Graduate
3rd row	Undergraduate
4th row	High School
5th row	Graduate

Common Values

Value	Count	Frequency (%)
Undergraduate	353	50.1%
Graduate	325	46.1%
High School	27	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
undergraduate	353	48.2%
graduate	325	44.4%
high	27	3.7%
school	27	3.7%

Most occurring characters

Value	Count	Frequency (%)
a	1356	18.1%
d	1031	13.8%
r	1031	13.8%
e	1031	13.8%
t	678	9.1%
u	678	9.1%
g	380	5.1%
U	353	4.7%
n	353	4.7%
G	325	4.3%
Other values (8)	270	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7486	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1356	18.1%
d	1031	13.8%
r	1031	13.8%
e	1031	13.8%
t	678	9.1%
u	678	9.1%
g	380	5.1%
U	353	4.7%
n	353	4.7%
G	325	4.3%
Other values (8)	270	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7486	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1356	18.1%
d	1031	13.8%
r	1031	13.8%
e	1031	13.8%
t	678	9.1%
u	678	9.1%
g	380	5.1%
U	353	4.7%
n	353	4.7%
G	325	4.3%
Other values (8)	270	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7486	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1356	18.1%
d	1031	13.8%
r	1031	13.8%
e	1031	13.8%
t	678	9.1%
u	678	9.1%
g	380	5.1%
U	353	4.7%
n	353	4.7%
G	325	4.3%
Other values (8)	270	3.6%

Country
Text

Distinct	110
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Memory size	43.9 KiB

Length

Max length	15
Median length	13
Mean length	6.5460993
Min length	2

Characters and Unicode

Total characters	4615
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79 ?
Unique (%)	11.2%

Sample

1st row	Bangladesh
2nd row	India
3rd row	USA
4th row	UK
5th row	Canada

Value	Count	Frequency (%)
india	53	7.0%
usa	40	5.3%
canada	34	4.5%
france	27	3.6%
mexico	27	3.6%
spain	27	3.6%
turkey	27	3.6%
ireland	27	3.6%
denmark	27	3.6%
switzerland	27	3.6%
Other values (109)	436	58.0%

Most occurring characters

Value	Count	Frequency (%)
a	780	16.9%
n	437	9.5%
e	326	7.1%
i	325	7.0%
r	255	5.5%
d	231	5.0%
l	221	4.8%
s	147	3.2%
S	141	3.1%
t	128	2.8%
Other values (41)	1624	35.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	780	16.9%
n	437	9.5%
e	326	7.1%
i	325	7.0%
r	255	5.5%
d	231	5.0%
l	221	4.8%
s	147	3.2%
S	141	3.1%
t	128	2.8%
Other values (41)	1624	35.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	780	16.9%
n	437	9.5%
e	326	7.1%
i	325	7.0%
r	255	5.5%
d	231	5.0%
l	221	4.8%
s	147	3.2%
S	141	3.1%
t	128	2.8%
Other values (41)	1624	35.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	780	16.9%
n	437	9.5%
e	326	7.1%
i	325	7.0%
r	255	5.5%
d	231	5.0%
l	221	4.8%
s	147	3.2%
S	141	3.1%
t	128	2.8%
Other values (41)	1624	35.2%

Avg_Daily_Usage_Hours
Real number (ℝ)

High correlation

Distinct	67
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.9187234

Minimum	1.5
Maximum	8.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1.5
5-th percentile	2.82
Q1	4.1
median	4.8
Q3	5.8
95-th percentile	7
Maximum	8.5
Range	7
Interquartile range (IQR)	1.7

Descriptive statistics

Standard deviation	1.2573945
Coefficient of variation (CV)	0.25563432
Kurtosis	-0.35255351
Mean	4.9187234
Median Absolute Deviation (MAD)	0.9
Skewness	0.16463376
Sum	3467.7
Variance	1.581041
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.7	31	4.4%
4.5	30	4.3%
4.8	29	4.1%
4.6	28	4.0%
4.4	27	3.8%
4.3	23	3.3%
4.2	23	3.3%
4.9	20	2.8%
5.7	19	2.7%
3.8	19	2.7%
Other values (57)	456	64.7%

Value	Count	Frequency (%)
1.5	1	0.1%
2	1	0.1%
2.1	1	0.1%
2.2	2	0.3%
2.3	4	0.6%
2.4	4	0.6%
2.5	5	0.7%
2.6	5	0.7%
2.7	5	0.7%
2.8	8	1.1%

Value	Count	Frequency (%)
8.5	1	0.1%
8.4	1	0.1%
8.3	1	0.1%
8.2	1	0.1%
8.1	1	0.1%
8	1	0.1%
7.9	1	0.1%
7.8	1	0.1%
7.7	1	0.1%
7.6	1	0.1%

Most_Used_Platform
Categorical

High correlation

Distinct	12
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	44.7 KiB

Instagram	249
TikTok	154
Facebook	123
WhatsApp	54
Twitter	30
Other values (7)	95

Length

Max length	9
Median length	8
Mean length	7.7829787
Min length	4

Characters and Unicode

Total characters	5487
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Instagram
2nd row	Twitter
3rd row	TikTok
4th row	YouTube
5th row	Facebook

Common Values

Value	Count	Frequency (%)
Instagram	249	35.3%
TikTok	154	21.8%
Facebook	123	17.4%
WhatsApp	54	7.7%
Twitter	30	4.3%
LinkedIn	21	3.0%
WeChat	15	2.1%
Snapchat	13	1.8%
VKontakte	12	1.7%
LINE	12	1.7%
Other values (2)	22	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
instagram	249	35.3%
tiktok	154	21.8%
facebook	123	17.4%
whatsapp	54	7.7%
twitter	30	4.3%
linkedin	21	3.0%
wechat	15	2.1%
snapchat	13	1.8%
vkontakte	12	1.7%
line	12	1.7%
Other values (2)	22	3.1%

Most occurring characters

Value	Count	Frequency (%)
a	764	13.9%
k	488	8.9%
o	434	7.9%
t	415	7.6%
T	360	6.6%
n	316	5.8%
s	303	5.5%
I	282	5.1%
r	279	5.1%
g	249	4.5%
Other values (22)	1597	29.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5487	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	764	13.9%
k	488	8.9%
o	434	7.9%
t	415	7.6%
T	360	6.6%
n	316	5.8%
s	303	5.5%
I	282	5.1%
r	279	5.1%
g	249	4.5%
Other values (22)	1597	29.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5487	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	764	13.9%
k	488	8.9%
o	434	7.9%
t	415	7.6%
T	360	6.6%
n	316	5.8%
s	303	5.5%
I	282	5.1%
r	279	5.1%
g	249	4.5%
Other values (22)	1597	29.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5487	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	764	13.9%
k	488	8.9%
o	434	7.9%
t	415	7.6%
T	360	6.6%
n	316	5.8%
s	303	5.5%
I	282	5.1%
r	279	5.1%
g	249	4.5%
Other values (22)	1597	29.1%

Affects_Academic_Performance
Boolean

High correlation

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	833.0 B

True	453
False	252

Value	Count	Frequency (%)
True	453	64.3%
False	252	35.7%

Sleep_Hours_Per_Night
Real number (ℝ)

High correlation

Distinct	59
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.8689362

Minimum	3.8
Maximum	9.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	3.8
5-th percentile	5.02
Q1	6
median	6.9
Q3	7.7
95-th percentile	8.6
Maximum	9.6
Range	5.8
Interquartile range (IQR)	1.7

Descriptive statistics

Standard deviation	1.126848
Coefficient of variation (CV)	0.16404986
Kurtosis	-0.51981053
Mean	6.8689362
Median Absolute Deviation (MAD)	0.9
Skewness	-0.10904033
Sum	4842.6
Variance	1.2697865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.2	28	4.0%
7.3	28	4.0%
7.4	26	3.7%
7.5	25	3.5%
6.7	25	3.5%
6.8	24	3.4%
6.5	23	3.3%
5.8	23	3.3%
5.9	21	3.0%
7.8	20	2.8%
Other values (49)	462	65.5%

Value	Count	Frequency (%)
3.8	1	0.1%
3.9	1	0.1%
4	1	0.1%
4.1	2	0.3%
4.2	2	0.3%
4.3	2	0.3%
4.4	2	0.3%
4.5	3	0.4%
4.6	3	0.4%
4.7	3	0.4%

Value	Count	Frequency (%)
9.6	1	0.1%
9.5	2	0.3%
9.4	2	0.3%
9.3	2	0.3%
9.2	3	0.4%
9.1	3	0.4%
9	3	0.4%
8.9	5	0.7%
8.8	6	0.9%
8.7	7	1.0%

Mental_Health_Score
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.2269504

Minimum	4
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	4
5-th percentile	5
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	9
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1050555
Coefficient of variation (CV)	0.17746335
Kurtosis	-0.83557411
Mean	6.2269504
Median Absolute Deviation (MAD)	1
Skewness	0.049022623
Sum	4390
Variance	1.2211476
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6	219	31.1%
7	178	25.2%
5	173	24.5%
8	105	14.9%
4	29	4.1%
9	1	0.1%

Value	Count	Frequency (%)
4	29	4.1%
5	173	24.5%
6	219	31.1%
7	178	25.2%
8	105	14.9%
9	1	0.1%

Value	Count	Frequency (%)
9	1	0.1%
8	105	14.9%
7	178	25.2%
6	219	31.1%
5	173	24.5%
4	29	4.1%

Relationship_Status
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

Single	384
In Relationship	289
Complicated	32

Length

Max length	15
Median length	6
Mean length	9.9163121
Min length	6

Characters and Unicode

Total characters	6991
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	In Relationship
2nd row	Single
3rd row	Complicated
4th row	Single
5th row	In Relationship

Common Values

Value	Count	Frequency (%)
Single	384	54.5%
In Relationship	289	41.0%
Complicated	32	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	384	38.6%
in	289	29.1%
relationship	289	29.1%
complicated	32	3.2%

Most occurring characters

Value	Count	Frequency (%)
i	994	14.2%
n	962	13.8%
l	705	10.1%
e	705	10.1%
S	384	5.5%
g	384	5.5%
t	321	4.6%
a	321	4.6%
o	321	4.6%
p	321	4.6%
Other values (9)	1573	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	994	14.2%
n	962	13.8%
l	705	10.1%
e	705	10.1%
S	384	5.5%
g	384	5.5%
t	321	4.6%
a	321	4.6%
o	321	4.6%
p	321	4.6%
Other values (9)	1573	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	994	14.2%
n	962	13.8%
l	705	10.1%
e	705	10.1%
S	384	5.5%
g	384	5.5%
t	321	4.6%
a	321	4.6%
o	321	4.6%
p	321	4.6%
Other values (9)	1573	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6991	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	994	14.2%
n	962	13.8%
l	705	10.1%
e	705	10.1%
S	384	5.5%
g	384	5.5%
t	321	4.6%
a	321	4.6%
o	321	4.6%
p	321	4.6%
Other values (9)	1573	22.5%

Conflicts_Over_Social_Media
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8496454

Minimum	0
Maximum	5
Zeros	4
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.95796779
Coefficient of variation (CV)	0.33617088
Kurtosis	-0.38337441
Mean	2.8496454
Median Absolute Deviation (MAD)	1
Skewness	-0.16233999
Sum	2009
Variance	0.91770229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	261	37.0%
2	204	28.9%
4	174	24.7%
1	47	6.7%
5	15	2.1%
0	4	0.6%

Value	Count	Frequency (%)
0	4	0.6%
1	47	6.7%
2	204	28.9%
3	261	37.0%
4	174	24.7%
5	15	2.1%

Value	Count	Frequency (%)
5	15	2.1%
4	174	24.7%
3	261	37.0%
2	204	28.9%
1	47	6.7%
0	4	0.6%

Addicted_Score
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.4368794

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	7
Q3	8
95-th percentile	9
Maximum	9
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.5871649
Coefficient of variation (CV)	0.24657366
Kurtosis	-0.8944829
Mean	6.4368794
Median Absolute Deviation (MAD)	1
Skewness	-0.29682849
Sum	4538
Variance	2.5190925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
7	209	29.6%
8	144	20.4%
5	136	19.3%
4	83	11.8%
6	61	8.7%
9	55	7.8%
3	16	2.3%
2	1	0.1%

Value	Count	Frequency (%)
2	1	0.1%
3	16	2.3%
4	83	11.8%
5	136	19.3%
6	61	8.7%
7	209	29.6%
8	144	20.4%
9	55	7.8%

Value	Count	Frequency (%)
9	55	7.8%
8	144	20.4%
7	209	29.6%
6	61	8.7%
5	136	19.3%
4	83	11.8%
3	16	2.3%
2	1	0.1%

	Academic_Level	Addicted_Score	Affects_Academic_Performance	Age	Avg_Daily_Usage_Hours	Conflicts_Over_Social_Media	Gender	Mental_Health_Score	Most_Used_Platform	Relationship_Status	Sleep_Hours_Per_Night	Student_ID
Academic_Level	1.000	0.246	0.112	0.815	0.203	0.229	0.659	0.218	0.372	0.224	0.397	0.277
Addicted_Score	0.246	1.000	0.958	-0.170	0.838	0.951	0.225	-0.950	0.455	0.209	-0.788	0.032
Affects_Academic_Performance	0.112	0.958	1.000	0.150	0.686	0.988	0.000	0.912	0.595	0.172	0.639	0.036
Age	0.815	-0.170	0.150	1.000	-0.102	-0.178	0.678	0.158	0.321	0.133	0.132	0.194
Avg_Daily_Usage_Hours	0.203	0.838	0.686	-0.102	1.000	0.803	0.128	-0.802	0.286	0.177	-0.814	0.235
Conflicts_Over_Social_Media	0.229	0.951	0.988	-0.178	0.803	1.000	0.128	-0.908	0.431	0.211	-0.723	0.128
Gender	0.659	0.225	0.000	0.678	0.128	0.128	1.000	0.105	0.451	0.000	0.147	0.000
Mental_Health_Score	0.218	-0.950	0.912	0.158	-0.802	-0.908	0.105	1.000	0.341	0.161	0.734	-0.041
Most_Used_Platform	0.372	0.455	0.595	0.321	0.286	0.431	0.451	0.341	1.000	0.281	0.200	0.285
Relationship_Status	0.224	0.209	0.172	0.133	0.177	0.211	0.000	0.161	0.281	1.000	0.198	0.303
Sleep_Hours_Per_Night	0.397	-0.788	0.639	0.132	-0.814	-0.723	0.147	0.734	0.200	0.198	1.000	0.170
Student_ID	0.277	0.032	0.036	0.194	0.235	0.128	0.000	-0.041	0.285	0.303	0.170	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Student_ID	Age	Gender	Academic_Level	Country	Avg_Daily_Usage_Hours	Most_Used_Platform	Affects_Academic_Performance	Sleep_Hours_Per_Night	Mental_Health_Score	Relationship_Status	Conflicts_Over_Social_Media	Addicted_Score
0	1	19	Female	Undergraduate	Bangladesh	5.2	Instagram	Yes	6.5	6	In Relationship	3	8
1	2	22	Male	Graduate	India	2.1	Twitter	No	7.5	8	Single	0	3
2	3	20	Female	Undergraduate	USA	6.0	TikTok	Yes	5.0	5	Complicated	4	9
3	4	18	Male	High School	UK	3.0	YouTube	No	7.0	7	Single	1	4
4	5	21	Male	Graduate	Canada	4.5	Facebook	Yes	6.0	6	In Relationship	2	7
5	6	19	Female	Undergraduate	Australia	7.2	Instagram	Yes	4.5	4	Complicated	5	9
6	7	23	Male	Graduate	Germany	1.5	LinkedIn	No	8.0	9	Single	0	2
7	8	20	Female	Undergraduate	Brazil	5.8	Snapchat	Yes	6.0	6	In Relationship	2	8
8	9	18	Male	High School	Japan	4.0	TikTok	No	6.5	7	Single	1	5
9	10	21	Female	Graduate	South Korea	3.3	Instagram	No	7.0	7	In Relationship	1	4

	Student_ID	Age	Gender	Academic_Level	Country	Avg_Daily_Usage_Hours	Most_Used_Platform	Affects_Academic_Performance	Sleep_Hours_Per_Night	Mental_Health_Score	Relationship_Status	Conflicts_Over_Social_Media	Addicted_Score
695	696	23	Male	Graduate	USA	5.5	Twitter	Yes	6.7	6	In Relationship	3	7
696	697	21	Female	Undergraduate	Mexico	6.3	TikTok	Yes	6.2	5	Single	4	8
697	698	24	Male	Graduate	France	4.8	Facebook	No	7.1	7	In Relationship	2	5
698	699	19	Female	Undergraduate	Canada	5.7	Instagram	Yes	6.6	6	Single	3	7
699	700	22	Male	Graduate	UK	6.2	Twitter	Yes	6.3	5	Single	4	8
700	701	20	Female	Undergraduate	Italy	4.7	TikTok	No	7.2	7	In Relationship	2	5
701	702	23	Male	Graduate	Russia	6.8	Instagram	Yes	5.9	4	Single	5	9
702	703	21	Female	Undergraduate	China	5.6	WeChat	Yes	6.7	6	In Relationship	3	7
703	704	24	Male	Graduate	Japan	4.3	Twitter	No	7.5	8	Single	2	4
704	705	19	Female	Undergraduate	Poland	6.2	Facebook	Yes	6.3	5	Single	4	8

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample